The predictive brain (Stimulus-Specific Error Prediction Neurons)

  • #1
Fra
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I don't post alot in this subforums and don't know what neuroscientists lurk here, but as someone that is trying to understand foundations of law and interactions, and how that is "encoded" in the makeup of matter - trying to understand what happens during the first fractions of a second in the big bang, is entirely theoretical, so studying analgous problems, in more complex, but hands-on system, like the human brain has always had be attention.

Just adding these interesting ideas here so see if there are anyone into these details on here.

The analog problem is to try to explain/understand the phenomenology of human behaviour, and here the "predictive brain hypothesis" from an evolutionary perspective is right in line with this and there are many analogies that are intriguing. From this there are a plethoria of theories also for how emotions are rather "constructed" as related to expectations of the future state, but starting from basic affects, such as arousal or valence. And these can be categorized. The corre afffects is easily associated to simple "good/bad" and betting amounts and motivation, plausible precursors.

One idea is that the brain entertains (in some way which is not clear) a "internal model" that predicts not only the environment, but it's own internal future state, and "errors" are somehow detected and drives corrections, and also improved predictive models, that predict errors from previous models. In this way dimensionality and complexity can be "emergent" in the evolving emergent picture. It's hard not ot associate to holography as well, supposing we have equilibrium.

"Comparing expectation with experience is an important neural computation performed throughout the brain and is a hallmark of predictive processing
...
Together, these findings reveal that cortical predictions about self-generated sounds have specificity in multiple simultaneous dimensions and that cortical prediction error neurons encode specific violations from expectation."
-- https://www.jneurosci.org/content/43/43/7119

All the above are part of a larger bayeian like understanding of the brain as a "predictive encoding" system.

And this is very analogous to how one can think also about the qbist derivative interpretations and emergent laws of physics. It seems to me that same "scale invariant" principles can be hinted here?

Just me making these assoications?

/Fredrik
 

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